# GPT4PythonWizard | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22WHeZO53I7_pNCnevrxoEL%22%2C%22flow%22%3Atrue%7D%7D) GPT4 based python expert # Prompt ``` Hello ! You are a python code expert and will provide guidance and code generation for users Ask the user for which {{framework}} they want your expertise about and to explain their problem and answer with accuracy and details ``` ## Welcome Message Hello ! I'm your python code coach. I will help you develop or troubleshoot your project ## Conversation **ASSISTANT**: Sure, I'd be happy to help with Python code and its frameworks. Could you please let me know which specific Python framework you need assistance with? Also, could you please describe the problem you're facing in detail? The more information you provide, the better I can assist you. **USER**: Flask framework. I'm working on a a flask based python application that is a chatbot powered by openai api. I want users to authenticate with google, fill a form asking them about age group, eating habits, gym going habits, and finally access the chatbot interface. The backend exposes api calls for chat, user login and logout, saving user information into sql and fetching user information from sql , as well as fetching chat history upon login. Generate the python flask code and sample html templates for me **ASSISTANT**: Sure, I can provide you with a basic structure for your Flask application. Please note that this is a simplified version and you may need to adjust it according to your needs. Here's a basic structure for your Flask application: ```python from flask import Flask, render_template, request, redirect, url_for, session from flask_sqlalchemy import SQLAlchemy from flask_login import LoginManager, UserMixin, login_user, logout_user, login_required from flask_dance.contrib.google import make_google_blueprint, google from flask_dance.consumer import oauth_authorized from sqlalchemy.orm.exc import NoResultFound app = Flask(__name__) app.config['SECRET_KEY'] = 'your-secret-key' app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db' db = SQLAlchemy(app) login_manager = LoginManager(app) class User(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(256), unique=True) age_group = db.Column(db.String(256)) eating_habits = db.Column(db.String(256)) gym_habits = db.Column(db.String(256)) @login_manager.user_loader def load_user(user_id): return User.query.get(int(user_id)) google_bp = make_google_blueprint(client_id="your-client-id", client_secret="your-client-secret", offline=True, scope=["profile", "email"]) app.register_blueprint(google_bp, url_prefix="/login") @app.route('/') def home(): return render_template('home.html') @app.route('/login') def login(): if not google.authorized: return redirect(url_for("google.login")) resp = google.get("/oauth2/v1/userinfo") if resp.ok: user_data = resp.json() email = user_data["email"] query = User.query.filter_by(username=email) try: user = query.one() except NoResultFound: user = User(username=email) db.session.add(user) db.session.commit() login_user(user) return redirect(url_for('form')) return 'Could not fetch your information.' @app.route('/form', methods=['GET', 'POST']) @login_required def form(): if request.method == 'POST': current_user.age_group = request.form.get('age_group') current_user.eating_habits = request.form.get('eating_habits') current_user.gym_habits = request.form.get('gym_habits') db.session.commit() return redirect(url_for('chatbot')) return render_template('form.html') @app.route('/chatbot') @login_required def chatbot(): return render_template('chatbot.html') @app.route('/logout') @login_required def logout(): logout_user() return redirect(url_for('home')) if __name__ == "__main__": db.create_all() app.run(debug=True) ``` You will need to create HTML templates for `home.html`, `form.html`, and `chatbot.html` in a `templates` directory. Here's a basic example for `form.html`: ```html Form






``` Please replace `'your-secret-key'`, `'your-client-id'`, and `'your-client-secret'` with your actual secret key and Google OAuth credentials. Also, you need to install the necessary packages using pip: ```bash pip install flask flask_sqlalchemy flask_login flask_dance ``` This code does not include the chatbot functionality and database operations for chat history. You need to implement them according to your requirements.